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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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Responsibilities Key Duties Research To conduct research within biostatistics, Machine Learning and bioinformatics associated with dementia genetics and clinical data in large cohorts To contribute to the overall
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science with bioinformatic component. Experience working with high performance computing (HPC) with large data sets is essential. Experience with pipelines for genomic sequence analysis from raw reads. Relevant
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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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Grade UE08: £50,253 - £61,759 per annum : Grade UE08 User Services Directorate / Information Services Group Full-time: 35 hours per week Open ended: permanent We are seeking a experienced Endpoint
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; the environmental effects of international trade, and; the relationship between trade policy and industrial policy. The work includes extensive cleaning, merging and preparation of large micro data sources
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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The post-holder will be a member of a multi-disciplinary research group working on the NICOLA Study which is a large longitudinal study addressing the social and biological determinants of healthy
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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trade staff, acting as a key customer contact for a large diverse portfolio of the University’s buildings. You will also be responsible for the management of specialist contractors. You will lead, manage